{"id":"https://openalex.org/W2008276889","doi":"https://doi.org/10.1109/icalip.2014.7009748","title":"An intrinsic mode function basis dictionary for auditory signal processing","display_name":"An intrinsic mode function basis dictionary for auditory signal processing","publication_year":2014,"publication_date":"2014-07-01","ids":{"openalex":"https://openalex.org/W2008276889","doi":"https://doi.org/10.1109/icalip.2014.7009748","mag":"2008276889"},"language":"en","primary_location":{"id":"doi:10.1109/icalip.2014.7009748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082967906","display_name":"Chang Gao","orcid":"https://orcid.org/0000-0002-3284-4078"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Gao","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398343","display_name":"Haifeng Li","orcid":"https://orcid.org/0000-0002-2534-2299"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Li","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018662596","display_name":"Lin Ma","orcid":"https://orcid.org/0000-0003-1684-9714"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Ma","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","School of Computer science and technology, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]},{"raw_affiliation_string":"School of Computer science and technology, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4104,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.67943925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"16","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11447","display_name":"Blind Source Separation Techniques","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.7241683006286621},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.7113353610038757},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6925259828567505},{"id":"https://openalex.org/keywords/basis-function","display_name":"Basis function","score":0.6032627820968628},{"id":"https://openalex.org/keywords/sparse-approximation","display_name":"Sparse approximation","score":0.5964801907539368},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5807166695594788},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5705552101135254},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.5535120964050293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5467816591262817},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5377180576324463},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4980003833770752},{"id":"https://openalex.org/keywords/k-svd","display_name":"K-SVD","score":0.43253734707832336},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.4318920969963074},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.4318663477897644},{"id":"https://openalex.org/keywords/speech-processing","display_name":"Speech processing","score":0.41905418038368225},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4143354594707489},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36746934056282043},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23292964696884155},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.15689688920974731},{"id":"https://openalex.org/keywords/digital-signal-processing","display_name":"Digital signal processing","score":0.11142188310623169}],"concepts":[{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.7241683006286621},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.7113353610038757},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6925259828567505},{"id":"https://openalex.org/C5917680","wikidata":"https://www.wikidata.org/wiki/Q2621825","display_name":"Basis function","level":2,"score":0.6032627820968628},{"id":"https://openalex.org/C124066611","wikidata":"https://www.wikidata.org/wiki/Q28684319","display_name":"Sparse approximation","level":2,"score":0.5964801907539368},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5807166695594788},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5705552101135254},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.5535120964050293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5467816591262817},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5377180576324463},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4980003833770752},{"id":"https://openalex.org/C154771677","wikidata":"https://www.wikidata.org/wiki/Q17098361","display_name":"K-SVD","level":3,"score":0.43253734707832336},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.4318920969963074},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.4318663477897644},{"id":"https://openalex.org/C61328038","wikidata":"https://www.wikidata.org/wiki/Q3358061","display_name":"Speech processing","level":2,"score":0.41905418038368225},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4143354594707489},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36746934056282043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23292964696884155},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.15689688920974731},{"id":"https://openalex.org/C84462506","wikidata":"https://www.wikidata.org/wiki/Q173142","display_name":"Digital signal processing","level":2,"score":0.11142188310623169},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icalip.2014.7009748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icalip.2014.7009748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 International Conference on Audio, Language and Image Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W33214042","https://openalex.org/W1890834058","https://openalex.org/W2007221293","https://openalex.org/W2021345820","https://openalex.org/W2023722580","https://openalex.org/W2025079166","https://openalex.org/W2046658845","https://openalex.org/W2061615939","https://openalex.org/W2105892554","https://openalex.org/W2112447569","https://openalex.org/W2115429828","https://openalex.org/W2115706991","https://openalex.org/W2118297240","https://openalex.org/W2126534699","https://openalex.org/W2128659236","https://openalex.org/W2160547390","https://openalex.org/W2160979406","https://openalex.org/W2163398148","https://openalex.org/W2168745297","https://openalex.org/W2289917018","https://openalex.org/W3022380717","https://openalex.org/W3124114587","https://openalex.org/W4235713725","https://openalex.org/W6601318844","https://openalex.org/W6676727762"],"related_works":["https://openalex.org/W2099321050","https://openalex.org/W2890952311","https://openalex.org/W2509955295","https://openalex.org/W2047275718","https://openalex.org/W2034957211","https://openalex.org/W2388952560","https://openalex.org/W110819671","https://openalex.org/W2149282631","https://openalex.org/W2011611369","https://openalex.org/W2204991413"],"abstract_inverted_index":{"As":[0],"one":[1,194],"important":[2],"field":[3],"of":[4,9,62,84,97,156,161,173],"sparse":[5,95,157],"representation,":[6],"the":[7,36,45,60,74,85,94,103,138,149,169,174,183,187,192],"research":[8],"dictionary":[10,119,140,152],"learning":[11,120,141],"attracts":[12],"most":[13],"researchers":[14],"interest":[15],"in":[16,93],"signal":[17,29,105,190],"processing":[18,106],"study.":[19],"Empirical":[20],"Mode":[21,51],"Decomposition":[22],"(EMD),":[23],"as":[24,40,59,71],"an":[25,41,81],"efficient":[26,82],"and":[27,43,76,99,159,171,191,203],"adaptive":[28],"decomposition":[30],"method":[31],"that":[32,63,121,182],"depends":[33],"completely":[34],"on":[35,145],"signal,":[37],"is":[38,80,107,143,153,195,207],"considered":[39],"innovative":[42],"appropriative":[44],"basis":[46,61,127,151,177],"function":[47],"theory.":[48],"The":[49,129,179],"Intrinsic":[50],"Functions":[52],"(IMFs)":[53],"obtained":[54],"by":[55,73,135],"EMD":[56],"are":[57,131,164],"used":[58],"expansion":[64],"which":[65],"can":[66],"be":[67],"linear":[68,78],"or":[69],"nonlinear":[70],"dictated":[72],"data,":[75],"their":[77,100],"combination":[79],"representation":[83,96,158],"original":[86,193],"signals.":[87],"However,":[88],"IMFs":[89,124,134],"cannot":[90],"directly":[91],"engage":[92],"signals,":[98],"application":[101],"to":[102,167],"auditory":[104],"quite":[108],"limited.":[109],"In":[110],"this":[111],"paper,":[112],"we":[113],"propose":[114],"a":[115,204],"universal":[116],"algorithm":[117,142],"for":[118],"transforms":[122],"raw":[123],"into":[125,133],"valuable":[126],"functions.":[128],"signals":[130,163],"decomposed":[132],"EMD,":[136],"then":[137],"general":[139],"implemented":[144],"these":[146],"IMFs,":[147],"finally,":[148],"IMF":[150,176],"learned.":[154],"Experiments":[155],"reconstruction":[160],"speech":[162,189],"carried":[165],"out":[166],"verify":[168],"effectiveness":[170],"efficiency":[172],"proposed":[175],"dictionary.":[178],"results":[180],"proved":[181],"signal-to-noise":[184],"ratio":[185],"between":[186],"reconstructed":[188],"much":[196],"higher":[197],"comparing":[198],"with":[199],"other":[200],"traditional":[201],"dictionaries,":[202],"better":[205],"sparseness":[206],"achieved.":[208]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
